2 Structure of the course
One session is meant to consist of 2 hour (max) lecture as well as a homework that takes about 30 - 60 minutes to complete.
| Week | Topic | Description |
|---|---|---|
| 1 | Before you learn the language | - Why learning R - How to use R as a beginner - Types of R files - Ensuring reproducibility - How to learn the language |
| 2 | Introduction to R | - working directory demonstration - objects in R - functions and their arguments - data types - atomic vectors - lists - dataframes/tibbles - subsetting vectors |
| 3 | Import data and how to work with dataframes | - what are dataframes - how to create dataframes - basic properties of dataframes - how to import and export data - Selecting and filtering your data - the pipe operator %>% |
| 4 | Data transformation, data summary, functions and conditional execution |
- mutate - summarise - group_by - write your own functions - use if/else statements |
| 5 | Working with strings (characters) | - manipulate strings - regex basics - find/extract/replace matched strings |
| 6 | ggplot2 basics and Iteration | - grammar of graphics - scatterplot with regression line - for loops - while loops - map function |
| 7 | ggplot2 | - scatterplots - linegraphs - boxplots - histograms - barplots |
| 8 | Using Rmarkdown for scientific reporting | - What is Rmarkdown - Why bother learning it? - Hands-on |